Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Robin Strudel"'
Autor:
Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid
Publikováno v:
CoRL 2020-Conference on Robot Learning
CoRL 2020-Conference on Robot Learning, Nov 2020, Cambridge MA / Virtual, United States. pp.355-364
HAL
CoRL 2020-Conference on Robot Learning, Nov 2020, Cambridge MA / Virtual, United States. pp.355-364
HAL
Motion planning and obstacle avoidance is a key challenge in robotics applications. While previous work succeeds to provide excellent solutions for known environments, sensor-based motion planning in new and dynamic environments remains difficult. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20b15fd54f7c2999116fdae2ca428340
http://arxiv.org/abs/2008.11174
http://arxiv.org/abs/2008.11174
Autor:
Alexander Pashevich, Cordelia Schmid, Robin Strudel, Josef Sivic, Igor Kalevatykh, Ivan Laptev
Publikováno v:
ICRA 2020-IEEE International Conference on Robotics and Automation
ICRA 2020-IEEE International Conference on Robotics and Automation, May 2020, Paris / Virtuel, France. ⟨10.1109/ICRA40945.2020.9196619⟩
ICRA
ICRA 2020-IEEE International Conference on Robotics and Automation, May 2020, Paris / Virtuel, France. ⟨10.1109/ICRA40945.2020.9196619⟩
ICRA
Manipulation tasks such as preparing a meal or assembling furniture remain highly challenging for robotics and vision. Traditional task and motion planning (TAMP) methods can solve complex tasks but require full state observability and are not adapte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51d17447cfd4831aa3b013b88529612f
https://hal.archives-ouvertes.fr/hal-02274969
https://hal.archives-ouvertes.fr/hal-02274969
Publikováno v:
IROS 2019-IEEE/RSJ International Conference on Intelligent Robots and Systems
IROS 2019-IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov 2019, Macao, China. pp.2651-2657, ⟨10.1109/IROS40897.2019.8967622⟩
IROS
IROS 2019-IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov 2019, Macao, China. pp.2651-2657, ⟨10.1109/IROS40897.2019.8967622⟩
IROS
Vision and learning have made significant progress that could improve robotics policies for complex tasks and environments. Learning deep neural networks for image understanding, however, requires large amounts of domain-specific visual data. While c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7186cb6936f10c35f92d4e5a5c32ff55
https://hal.archives-ouvertes.fr/hal-02273326
https://hal.archives-ouvertes.fr/hal-02273326